In [1]:
from shared import graph, stats_utils
from src_draft.utils import LOW_IMP_FEATURES
import shared.ml_config_core as ml_config_core
import pandas as pd
from shared.ml_config_core import ModelConfigsCollection
from shared.ml_config_runner import run_tuning_for_configs_collection
from shared.definitions import TuningResult
from Draft import feature_builder_v2
import importlib
from matplotlib import pyplot as plt
import src_draft.utils as shared_utils
import seaborn as sns
In [2]:
importlib.reload(shared_utils)
shared_utils.pandas_config(pd)
shared_utils.plt_config(plt)
sns.set_theme(style="darkgrid", palette="pastel")
plt.style.use("fivethirtyeight")
In [3]:
features_matrix = feature_builder_v2.load_datasets_and_prepare_features(
drop_meta_data=True, ds_type=feature_builder_v2.DatasetType.FULL
)
C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\featuretools\entityset\entityset.py:1914: UserWarning: index SK_BUREAU_ID not found in dataframe, creating new integer column warnings.warn( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\woodwork\type_sys\utils.py:40: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. pd.to_datetime( C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\featuretools\computational_backends\feature_set_calculator.py:828: FutureWarning: The provided callable <function mean at 0x000002E6F2294CC0> is currently using SeriesGroupBy.mean. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "mean" instead. ).agg(to_agg) C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\featuretools\computational_backends\feature_set_calculator.py:828: FutureWarning: The provided callable <function min at 0x000002E6F2294400> is currently using SeriesGroupBy.min. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "min" instead. ).agg(to_agg) C:\Users\Paulius\AppData\Local\pypoetry\Cache\virtualenvs\ppuodz-ml-4-1-dqELbViF-py3.12\Lib\site-packages\featuretools\computational_backends\feature_set_calculator.py:828: FutureWarning: The provided callable <function max at 0x000002E6F22942C0> is currently using SeriesGroupBy.max. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "max" instead. ).agg(to_agg)
Appending previous history Full DS size: 307511
In [3]:
In [3]:
In [4]:
features_matrix_sorted_imp = features_matrix[shared_utils.ANY_IMP_FEATURES]
Missing Values¶
In [5]:
stats_utils.nan_summary(features_matrix_sorted_imp)
Out[5]:
| Total NaN Values | Proportion NaN (%) | |
|---|---|---|
| ExtSource2 | 660 | 0.0 |
| ExtSource3 | 60965 | 20.0 |
| AmtGoodsPrice | 278 | 0.0 |
| ExtSource1 | 173378 | 56.0 |
| OwnCarAge | 202929 | 66.0 |
| MeanbureauamtCreditSumDebt | 51380 | 17.0 |
| AmtAnnuity | 12 | 0.0 |
| PrevAvgYieldGroup | 18945 | 6.0 |
| PrevCreditReceivedRequestedDiff | 16454 | 5.0 |
| PrevAmtDownPaymentSum | 16454 | 5.0 |
| MaxbureaudaysCredit | 44020 | 14.0 |
| MaxbureaudaysCreditEnddate | 46269 | 15.0 |
| OccupationType | 96391 | 31.0 |
| MaxbureaudaysEnddateFact | 77156 | 25.0 |
| MeanbureauamtCreditSum | 44021 | 14.0 |
| PrevLastLoanGoodsCategory | 16454 | 5.0 |
| PrevLastLoanDecisionDate | 16454 | 5.0 |
| PrevPortfolioCardsCount | 16454 | 5.0 |
| DaysLastPhoneChange | 1 | 0.0 |
| PrevRatioSumDownPaymentCredit | 16681 | 5.0 |
| AmtReqCreditBureauQrt | 41519 | 14.0 |
| MinbureauamtCreditSum | 44021 | 14.0 |
| MeanbureauamtCreditMaxOverdue | 123625 | 40.0 |
| PrevHasAnyDpdMean | 16454 | 5.0 |
| MeanbureaudaysCredit | 44020 | 14.0 |
| MaxbureauamtCreditSum | 44021 | 14.0 |
| MaxbureauamtCreditMaxOverdue | 123625 | 40.0 |
| PrevContractStatusApprovedCount | 16454 | 5.0 |
| PrevRatioRejectedAccepted | 16847 | 5.0 |
| PrevAcceptedToTotalRatio | 16454 | 5.0 |
| Def30CntSocialCircle | 1021 | 0.0 |
| PrevLastLoanYieldGroup | 16454 | 5.0 |
| PrevLastLoanClientType | 16454 | 5.0 |
| PrevPortfolioPosCount | 16454 | 5.0 |
| PrevAmtApplicationSum | 16454 | 5.0 |
| PrevTotalDpdSum | 16454 | 5.0 |
| MaxbureaudaysCreditUpdate | 44020 | 14.0 |
| MeanbureaudaysCreditEnddate | 46269 | 15.0 |
| MaxbureauamtCreditSumLimit | 65069 | 21.0 |
| MeanbureauskIdBureau | 44020 | 14.0 |
| MeanbureaudaysCreditUpdate | 44020 | 14.0 |
| MinbureaudaysCreditUpdate | 44020 | 14.0 |
| MinbureauskIdBureau | 44020 | 14.0 |
| WallsmaterialMode | 156341 | 51.0 |
| PrevRefusedToTotalRatio | 16454 | 5.0 |
| PrevLastLoanContractStatus | 16454 | 5.0 |
| PrevAmtApplicationMean | 16454 | 5.0 |
| PrevAmtCreditSum | 16454 | 5.0 |
| Def60CntSocialCircle | 1021 | 0.0 |
| AmtReqCreditBureauYear | 41519 | 14.0 |
| MeanbureauamtCreditSumLimit | 65069 | 21.0 |
| EntrancesMedi | 154828 | 50.0 |
| PrevAvgNflagInsuredOnApproval | 17751 | 6.0 |
| PrevDaysAfterFirstApplication | 16454 | 5.0 |
| YearsBeginexpluatationMode | 150007 | 49.0 |
| PrevAmtCreditMean | 16454 | 5.0 |
| PrevProductTypeWalkinCount | 16454 | 5.0 |
| PrevCodeRejectReasonLimitCount | 16454 | 5.0 |
| PrevMonthsWithDpdPropMean | 16454 | 5.0 |
| MaxbureauamtCreditSumDebt | 51380 | 17.0 |
| MaxbureauskIdBureau | 44020 | 14.0 |
| MinbureaudaysCreditEnddate | 46269 | 15.0 |
| YearsBeginexpluatationMedi | 150007 | 49.0 |
| PrevTotalPreviousLoans | 16454 | 5.0 |
| ApartmentsMode | 156061 | 51.0 |
| MinbureaudaysEnddateFact | 77156 | 25.0 |
| ApartmentsAvg | 156061 | 51.0 |
| TotalareaMode | 148431 | 48.0 |
| MinbureaudaysCredit | 44020 | 14.0 |
| LandareaMode | 182590 | 59.0 |
| EntrancesAvg | 154828 | 50.0 |
| Obs60CntSocialCircle | 1021 | 0.0 |
| MeanbureauamtAnnuity | 227502 | 74.0 |
| MeanbureaudaysEnddateFact | 77156 | 25.0 |
| NonlivingareaMedi | 169682 | 55.0 |
| ApartmentsMedi | 156061 | 51.0 |
| CommonareaAvg | 214865 | 70.0 |
| MaxbureauamtAnnuity | 227502 | 74.0 |
| MinbureauamtCreditMaxOverdue | 123625 | 40.0 |
| PrevCodeRejectReasonXapCount | 16454 | 5.0 |
| Obs30CntSocialCircle | 1021 | 0.0 |
| LandareaAvg | 182590 | 59.0 |
| YearsBuildMode | 204488 | 66.0 |
| PrevMonthsWithDpdPropSum | 16454 | 5.0 |
| LivingareaMedi | 154350 | 50.0 |
| LivingareaAvg | 154350 | 50.0 |
In [5]:
In [6]:
importlib.reload(graph)
graph.summary_df_features(features_matrix_sorted_imp)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1096: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator. axes[0].set_xticklabels(tick_labels)
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
V:\projects\ppuodz-ML.4.1\shared\graph.py:1189: UserWarning: Attempting to set identical low and high xlims makes transformation singular; automatically expanding. axes[1].set_xlim(0, min(upper_bound, source_df_no_cat[variable].max()))
